A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning Article Swipe

View

Fulong Yao , Wanqing Zhao , Matthew Forshaw , Yang Song ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.2139/ssrn.4836395

Related Topics

Reinforcement Learning

Computer Science

Control Engineering

Artificial Intelligence

Engineering

Structural Engineering

Quantum Mechanics

Physics

Concepts

Reinforcement learning Microgrid Control (management) Reinforcement Computer science Power (physics) Control engineering Artificial intelligence Engineering Structural engineering Quantum mechanics Physics

Metadata

Type: preprint
Language: en
Landing Page: https://doi.org/10.2139/ssrn.4836395
OA Status: green
Cited By: 3
References: 39
Related Works: 10
OpenAlex ID: https://openalex.org/W4398188349

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4398188349

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.2139/ssrn.4836395

Digital Object Identifier
Title: A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning

Work title
Type: preprint

OpenAlex work type
Language: en

Primary language
Publication year: 2024

Year of publication
Publication date: 2024-01-01

Full publication date if available
Authors: Fulong Yao, Wanqing Zhao, Matthew Forshaw, Yang Song

List of authors in order
Landing page: https://doi.org/10.2139/ssrn.4836395

Publisher landing page
Open access: Yes

Whether a free full text is available
OA status: green

Open access status per OpenAlex
OA URL: https://doi.org/10.2139/ssrn.4836395

Direct OA link when available
Concepts: Reinforcement learning, Microgrid, Control (management), Reinforcement, Computer science, Power (physics), Control engineering, Artificial intelligence, Engineering, Structural engineering, Quantum mechanics, Physics

Top concepts (fields/topics) attached by OpenAlex
Cited by: 3

Total citation count in OpenAlex
Citations by year (recent): 2025: 2, 2024: 1

Per-year citation counts (last 5 years)
References (count): 39

Number of works referenced by this work
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W4398188349
doi	https://doi.org/10.2139/ssrn.4836395
ids.doi	https://doi.org/10.2139/ssrn.4836395
ids.openalex	https://openalex.org/W4398188349
fwci	1.90862605
type	preprint
title	A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning
biblio.issue
biblio.volume
biblio.last_page
biblio.first_page
topics[0].id	https://openalex.org/T10223
topics[0].field.id	https://openalex.org/fields/22
topics[0].field.display_name	Engineering
topics[0].score	0.9997000098228455
topics[0].domain.id	https://openalex.org/domains/3
topics[0].domain.display_name	Physical Sciences
topics[0].subfield.id	https://openalex.org/subfields/2207
topics[0].subfield.display_name	Control and Systems Engineering
topics[0].display_name	Microgrid Control and Optimization
topics[1].id	https://openalex.org/T10603
topics[1].field.id	https://openalex.org/fields/22
topics[1].field.display_name	Engineering
topics[1].score	0.9994000196456909
topics[1].domain.id	https://openalex.org/domains/3
topics[1].domain.display_name	Physical Sciences
topics[1].subfield.id	https://openalex.org/subfields/2208
topics[1].subfield.display_name	Electrical and Electronic Engineering
topics[1].display_name	Smart Grid Energy Management
topics[2].id	https://openalex.org/T10462
topics[2].field.id	https://openalex.org/fields/17
topics[2].field.display_name	Computer Science
topics[2].score	0.9916999936103821
topics[2].domain.id	https://openalex.org/domains/3
topics[2].domain.display_name	Physical Sciences
topics[2].subfield.id	https://openalex.org/subfields/1702
topics[2].subfield.display_name	Artificial Intelligence
topics[2].display_name	Reinforcement Learning in Robotics
is_xpac	False
apc_list
apc_paid
concepts[0].id	https://openalex.org/C97541855
concepts[0].level	2
concepts[0].score	0.8691134452819824
concepts[0].wikidata	https://www.wikidata.org/wiki/Q830687
concepts[0].display_name	Reinforcement learning
concepts[1].id	https://openalex.org/C2776784348
concepts[1].level	3
concepts[1].score	0.8281892538070679
concepts[1].wikidata	https://www.wikidata.org/wiki/Q5762595
concepts[1].display_name	Microgrid
concepts[2].id	https://openalex.org/C2775924081
concepts[2].level	2
concepts[2].score	0.5752184391021729
concepts[2].wikidata	https://www.wikidata.org/wiki/Q55608371
concepts[2].display_name	Control (management)
concepts[3].id	https://openalex.org/C67203356
concepts[3].level	2
concepts[3].score	0.5254057049751282
concepts[3].wikidata	https://www.wikidata.org/wiki/Q1321905
concepts[3].display_name	Reinforcement
concepts[4].id	https://openalex.org/C41008148
concepts[4].level	0
concepts[4].score	0.48926588892936707
concepts[4].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[4].display_name	Computer science
concepts[5].id	https://openalex.org/C163258240
concepts[5].level	2
concepts[5].score	0.4787535071372986
concepts[5].wikidata	https://www.wikidata.org/wiki/Q25342
concepts[5].display_name	Power (physics)
concepts[6].id	https://openalex.org/C133731056
concepts[6].level	1
concepts[6].score	0.3736755847930908
concepts[6].wikidata	https://www.wikidata.org/wiki/Q4917288
concepts[6].display_name	Control engineering
concepts[7].id	https://openalex.org/C154945302
concepts[7].level	1
concepts[7].score	0.36208346486091614
concepts[7].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[7].display_name	Artificial intelligence
concepts[8].id	https://openalex.org/C127413603
concepts[8].level	0
concepts[8].score	0.2811970114707947
concepts[8].wikidata	https://www.wikidata.org/wiki/Q11023
concepts[8].display_name	Engineering
concepts[9].id	https://openalex.org/C66938386
concepts[9].level	1
concepts[9].score	0.05616578459739685
concepts[9].wikidata	https://www.wikidata.org/wiki/Q633538
concepts[9].display_name	Structural engineering
concepts[10].id	https://openalex.org/C62520636
concepts[10].level	1
concepts[10].score	0.0
concepts[10].wikidata	https://www.wikidata.org/wiki/Q944
concepts[10].display_name	Quantum mechanics
concepts[11].id	https://openalex.org/C121332964
concepts[11].level	0
concepts[11].score	0.0
concepts[11].wikidata	https://www.wikidata.org/wiki/Q413
concepts[11].display_name	Physics
keywords[0].id	https://openalex.org/keywords/reinforcement-learning
keywords[0].score	0.8691134452819824
keywords[0].display_name	Reinforcement learning
keywords[1].id	https://openalex.org/keywords/microgrid
keywords[1].score	0.8281892538070679
keywords[1].display_name	Microgrid
keywords[2].id	https://openalex.org/keywords/control
keywords[2].score	0.5752184391021729
keywords[2].display_name	Control (management)
keywords[3].id	https://openalex.org/keywords/reinforcement
keywords[3].score	0.5254057049751282
keywords[3].display_name	Reinforcement
keywords[4].id	https://openalex.org/keywords/computer-science
keywords[4].score	0.48926588892936707
keywords[4].display_name	Computer science
keywords[5].id	https://openalex.org/keywords/power
keywords[5].score	0.4787535071372986
keywords[5].display_name	Power (physics)
keywords[6].id	https://openalex.org/keywords/control-engineering
keywords[6].score	0.3736755847930908
keywords[6].display_name	Control engineering
keywords[7].id	https://openalex.org/keywords/artificial-intelligence
keywords[7].score	0.36208346486091614
keywords[7].display_name	Artificial intelligence
keywords[8].id	https://openalex.org/keywords/engineering
keywords[8].score	0.2811970114707947
keywords[8].display_name	Engineering
keywords[9].id	https://openalex.org/keywords/structural-engineering
keywords[9].score	0.05616578459739685
keywords[9].display_name	Structural engineering
language	en
locations[0].id	doi:10.2139/ssrn.4836395
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S4210172589
locations[0].source.issn	1556-5068
locations[0].source.type	repository
locations[0].source.is_oa	True
locations[0].source.issn_l	1556-5068
locations[0].source.is_core	False
locations[0].source.is_in_doaj	False
locations[0].source.display_name	SSRN Electronic Journal
locations[0].source.host_organization	https://openalex.org/I1318003438
locations[0].source.host_organization_name	RELX Group (Netherlands)
locations[0].source.host_organization_lineage	https://openalex.org/I1318003438
locations[0].license
locations[0].pdf_url
locations[0].version	acceptedVersion
locations[0].raw_type	posted-content
locations[0].license_id
locations[0].is_accepted	True
locations[0].is_published	False
locations[0].raw_source_name
locations[0].landing_page_url	https://doi.org/10.2139/ssrn.4836395
indexed_in	crossref
authorships[0].author.id	https://openalex.org/A5062700378
authorships[0].author.orcid
authorships[0].author.display_name	Fulong Yao
authorships[0].countries	GB
authorships[0].affiliations[0].institution_ids	https://openalex.org/I84884186
authorships[0].affiliations[0].raw_affiliation_string	Newcastle University
authorships[0].institutions[0].id	https://openalex.org/I84884186
authorships[0].institutions[0].ror	https://ror.org/01kj2bm70
authorships[0].institutions[0].type	education
authorships[0].institutions[0].lineage	https://openalex.org/I84884186
authorships[0].institutions[0].country_code	GB
authorships[0].institutions[0].display_name	Newcastle University
authorships[0].author_position	first
authorships[0].raw_author_name	Fulong Yao
authorships[0].is_corresponding	True
authorships[0].raw_affiliation_strings	Newcastle University
authorships[1].author.id	https://openalex.org/A5066572238
authorships[1].author.orcid	https://orcid.org/0000-0001-7622-0665
authorships[1].author.display_name	Wanqing Zhao
authorships[1].countries	GB
authorships[1].affiliations[0].institution_ids	https://openalex.org/I84884186
authorships[1].affiliations[0].raw_affiliation_string	Newcastle University
authorships[1].institutions[0].id	https://openalex.org/I84884186
authorships[1].institutions[0].ror	https://ror.org/01kj2bm70
authorships[1].institutions[0].type	education
authorships[1].institutions[0].lineage	https://openalex.org/I84884186
authorships[1].institutions[0].country_code	GB
authorships[1].institutions[0].display_name	Newcastle University
authorships[1].author_position	middle
authorships[1].raw_author_name	Wanqing Zhao
authorships[1].is_corresponding	False
authorships[1].raw_affiliation_strings	Newcastle University
authorships[2].author.id	https://openalex.org/A5049671608
authorships[2].author.orcid	https://orcid.org/0000-0001-7014-9837
authorships[2].author.display_name	Matthew Forshaw
authorships[2].countries	GB
authorships[2].affiliations[0].institution_ids	https://openalex.org/I84884186
authorships[2].affiliations[0].raw_affiliation_string	Newcastle University
authorships[2].institutions[0].id	https://openalex.org/I84884186
authorships[2].institutions[0].ror	https://ror.org/01kj2bm70
authorships[2].institutions[0].type	education
authorships[2].institutions[0].lineage	https://openalex.org/I84884186
authorships[2].institutions[0].country_code	GB
authorships[2].institutions[0].display_name	Newcastle University
authorships[2].author_position	middle
authorships[2].raw_author_name	Matthew Forshaw
authorships[2].is_corresponding	False
authorships[2].raw_affiliation_strings	Newcastle University
authorships[3].author.id	https://openalex.org/A5100688425
authorships[3].author.orcid	https://orcid.org/0000-0002-7992-7233
authorships[3].author.display_name	Yang Song
authorships[3].countries	CN
authorships[3].affiliations[0].institution_ids	https://openalex.org/I113940042
authorships[3].affiliations[0].raw_affiliation_string	Shanghai University
authorships[3].institutions[0].id	https://openalex.org/I113940042
authorships[3].institutions[0].ror	https://ror.org/006teas31
authorships[3].institutions[0].type	education
authorships[3].institutions[0].lineage	https://openalex.org/I113940042
authorships[3].institutions[0].country_code	CN
authorships[3].institutions[0].display_name	Shanghai University
authorships[3].author_position	last
authorships[3].raw_author_name	Yang Song
authorships[3].is_corresponding	False
authorships[3].raw_affiliation_strings	Shanghai University
has_content.pdf	False
has_content.grobid_xml	False
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://doi.org/10.2139/ssrn.4836395
open_access.oa_status	green
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning
has_fulltext	False
is_retracted	False
updated_date	2025-11-06T03:46:38.306776
primary_topic.id	https://openalex.org/T10223
primary_topic.field.id	https://openalex.org/fields/22
primary_topic.field.display_name	Engineering
primary_topic.score	0.9997000098228455
primary_topic.domain.id	https://openalex.org/domains/3
primary_topic.domain.display_name	Physical Sciences
primary_topic.subfield.id	https://openalex.org/subfields/2207
primary_topic.subfield.display_name	Control and Systems Engineering
primary_topic.display_name	Microgrid Control and Optimization
related_works	https://openalex.org/W1574359403, https://openalex.org/W2057975886, https://openalex.org/W4308700935, https://openalex.org/W4210780382, https://openalex.org/W2356033827, https://openalex.org/W2391138633, https://openalex.org/W4206134051, https://openalex.org/W2907234787, https://openalex.org/W4285503559, https://openalex.org/W1590827513
cited_by_count	3
counts_by_year[0].year	2025
counts_by_year[0].cited_by_count	2
counts_by_year[1].year	2024
counts_by_year[1].cited_by_count	1
locations_count	1
best_oa_location.id	doi:10.2139/ssrn.4836395
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S4210172589
best_oa_location.source.issn	1556-5068
best_oa_location.source.type	repository
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l	1556-5068
best_oa_location.source.is_core	False
best_oa_location.source.is_in_doaj	False
best_oa_location.source.display_name	SSRN Electronic Journal
best_oa_location.source.host_organization	https://openalex.org/I1318003438
best_oa_location.source.host_organization_name	RELX Group (Netherlands)
best_oa_location.source.host_organization_lineage	https://openalex.org/I1318003438
best_oa_location.license
best_oa_location.pdf_url
best_oa_location.version	acceptedVersion
best_oa_location.raw_type	posted-content
best_oa_location.license_id
best_oa_location.is_accepted	True
best_oa_location.is_published	False
best_oa_location.raw_source_name
best_oa_location.landing_page_url	https://doi.org/10.2139/ssrn.4836395
primary_location.id	doi:10.2139/ssrn.4836395
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S4210172589
primary_location.source.issn	1556-5068
primary_location.source.type	repository
primary_location.source.is_oa	True
primary_location.source.issn_l	1556-5068
primary_location.source.is_core	False
primary_location.source.is_in_doaj	False
primary_location.source.display_name	SSRN Electronic Journal
primary_location.source.host_organization	https://openalex.org/I1318003438
primary_location.source.host_organization_name	RELX Group (Netherlands)
primary_location.source.host_organization_lineage	https://openalex.org/I1318003438
primary_location.license
primary_location.pdf_url
primary_location.version	acceptedVersion
primary_location.raw_type	posted-content
primary_location.license_id
primary_location.is_accepted	True
primary_location.is_published	False
primary_location.raw_source_name
primary_location.landing_page_url	https://doi.org/10.2139/ssrn.4836395
publication_date	2024-01-01
publication_year	2024
referenced_works	https://openalex.org/W4285213037, https://openalex.org/W4386873920, https://openalex.org/W2980533241, https://openalex.org/W6801897818, https://openalex.org/W4308571613, https://openalex.org/W4382982703, https://openalex.org/W2621973433, https://openalex.org/W2591914489, https://openalex.org/W2344938262, https://openalex.org/W4310815743, https://openalex.org/W3182738738, https://openalex.org/W4312342268, https://openalex.org/W4214507393, https://openalex.org/W3094390476, https://openalex.org/W3016068557, https://openalex.org/W3155726845, https://openalex.org/W3215351807, https://openalex.org/W2534234604, https://openalex.org/W4320340623, https://openalex.org/W4309093029, https://openalex.org/W4376457700, https://openalex.org/W4238812252, https://openalex.org/W2107726111, https://openalex.org/W2145339207, https://openalex.org/W3041202696, https://openalex.org/W2995968686, https://openalex.org/W4360995403, https://openalex.org/W2034996255, https://openalex.org/W2746553466, https://openalex.org/W2173564293, https://openalex.org/W3183512612, https://openalex.org/W3129227889, https://openalex.org/W2893044924, https://openalex.org/W3199338852, https://openalex.org/W2201581102, https://openalex.org/W3011120880, https://openalex.org/W2951799221, https://openalex.org/W4385627133, https://openalex.org/W41554520
referenced_works_count	39
abstract_inverted_index
cited_by_percentile_year.max	97
cited_by_percentile_year.min	90
corresponding_author_ids	https://openalex.org/A5062700378
countries_distinct_count	2
institutions_distinct_count	4
corresponding_institution_ids	https://openalex.org/I84884186
citation_normalized_percentile.value	0.80273857
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False